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M 2, M 3 and M 4 Mycielski graphs Applying the Mycielskian repeatedly, starting with the one-edge graph, produces a sequence of graphs M i = μ( M i −1 ), sometimes called the Mycielski graphs. The first few graphs in this sequence are the graph M 2 = K 2 with two vertices connected by an edge, the cycle graph M 3 = C 5 , and the Grötzsch ...
If k is sufficiently large, it is known that G has to be 1-factorable: If k = 2n − 1, then G is the complete graph K 2n, and hence 1-factorable (see above). If k = 2n − 2, then G can be constructed by removing a perfect matching from K 2n. Again, G is 1-factorable. Chetwynd & Hilton (1985) show that if k ≥ 12n/7, then G is 1-factorable.
The unit circle can be specified as the level curve f(x, y) = 1 of the function f(x, y) = x 2 + y 2.Around point A, y can be expressed as a function y(x).In this example this function can be written explicitly as () =; in many cases no such explicit expression exists, but one can still refer to the implicit function y(x).
Outerplanar graphs: K 4 and K 2,3: Graph minor Diestel (2000), [1] p. 107: Outer 1-planar graphs: Six forbidden minors Graph minor Auer et al. (2013) [2] Graphs of fixed genus: A finite obstruction set Graph minor Diestel (2000), [1] p. 275: Apex graphs: A finite obstruction set Graph minor [3] Linklessly embeddable graphs: The Petersen family ...
These numbers give the largest possible value of the Hosoya index for an n-vertex graph. [11] The number of perfect matchings of the complete graph K n (with n even) is given by the double factorial (n – 1)!!. [12] The crossing numbers up to K 27 are known, with K 28 requiring either 7233 or 7234 crossings.
A factor graph is a bipartite graph representing the factorization of a function. Given a factorization of a ... A factor whose value is either 0 or 1 is called a ...
Fig. 4.3.1. Transformation of a maximum bipartite matching problem into a maximum flow problem. Given a bipartite graph = (,), we are to find a maximum cardinality matching in , that is a matching that contains the largest possible
In the following figure, a maximal matching M is marked with red, and the vertex cover C is marked with blue. The set C constructed this way is a vertex cover: suppose that an edge e is not covered by C; then M ∪ {e} is a matching and e ∉ M, which is a contradiction with the assumption that M is maximal.